Author Affiliation:
1 School of Civil Engineering, University of Sydney, Sydney,
Australia
2 State Key Laboratory of Power Transmission Equipment and
System Security and New Technology, Chongqing
University, Chongqing, China
3 School of Electrical and Information Engineering, University
of Sydney, Sydney, Australia

Foundation:

This work was supported in part by the Australian
Research Council through its Future Fellowship scheme (No.
FT140100130), in part by the Visiting Scholarship of State Key
Laboratory of Power Transmission Equipment & System Security and
New Technology (Chongqing University, China) (No.
2007DA10512716401), and in part by the Early Career Research
Development Scheme of Faculty of Engineering and Information
Technology, University of Sydney, Australia. The authors also would
like to acknowledge Dr. Yingying CHEN from The University of
Sydney for her valuable assistance on the independent format
checking of this paper.

Abstract:

Thermostatically controlled loads (TCLs) have
great potentials to participate in the demand response
programs due to their flexibility in storing thermal energy.
The two-way communication infrastructure of smart grids
provides opportunities for the smart buildings/houses
equipped with TCLs to be aggregated in their participation
in the electricity markets. This paper focuses on the realtime
scheduling of TCL aggregators in the power market
using the structure of the Nordic electricity markets a case
study. An International Organization of Standardization
(ISO) thermal comfort model is employed to well control
the occupants’ thermal comfort, while a rolling horizon
optimization (RHO) strategy is proposed for the TCL
aggregator to maximize its profit in the regulation market
and to mitigate the impacts of system uncertainties. The
simulations are performed by means of a metaheuristic
optimization algorithm, i.e., natural aggregation algorithm
(NAA). A series of simulations are conducted to validate
the effectiveness of proposed method.